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In observational studies, treatment assignment is a nonrandom process and treatment groups may not be comparable in their baseline characteristics, a phenomenon known as confounding. Propensity score ...
In observational studies, treatment assignment is a nonrandom process and treatment groups may not be comparable in their baseline characteristics, a phenomenon known as confounding. Propensity score ...
Time series data are widely used to explore causal relationships, typically in a regression framework with lagged dependent variables. Regression-based causality tests rely on an array of functional...
Macroeconomists have long been concerned with the causal e§ects of monetary policy. When the identiÖcation of causal e§ects is based on a selection-on-observables assumption, non-causality amount...
The probability of selection into a treatment, also called the propensity score, plays a central role in classical selection models and in matching models (see, e.g., Heckman, 1980; Heckman and Navarr...
It has been suggested that childrens savings programs will be more effective if they are combined with strategies to build childrens college-bound identities. In this study we use a multi-level trea...
It has been suggested that childrens savings programs will be more effective if they are combined with strategies to build childrens college-bound identities. In this study we use a multi-level trea...
The propensity score analysis is one of the most widely used methods for study- ing the causal treatment e ect in observational studies. This paper studies treatment e ect estimation with the method...
A large body of literature has documented a negative correlation between teenage childbearing and teen mothers’ socioeconomic outcomes, yet researchers continue to disagree as to whether the associati...
Not all policy questions can be addressed by social experiments. Nonexperimental evaluation methods provide an alternative to experimental designs but their results depend on untestable assumptions. T...
Propensity score matching is a prominent strategy to reduce imbalance in observational studies. However, if imbalance is considerable and the control reservoir is small, either one has to match one co...

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